Emergency Cloud Server for Landline Location and Multimedia Sharing
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Solution Overview
Problem
Current emergency communication systems face challenges in providing accurate and timely location data for all emergency calls, especially from landline phones, and in sharing multimedia feeds effectively during emergencies, which hinders efficient response coordination.
Innovation Solution
An emergency management cloud server system that receives and transmits device-based hybrid locations and multimedia data from mobile devices to emergency service providers, enabling accurate location determination and real-time situational awareness, while also integrating with landline phone data and multimedia sharing capabilities.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional emergency communication systems are used, then landline phones can make emergency calls, but accurate location data cannot be provided for landline calls
Solution Approach 1:
The patent introduces a cloud server as an intermediary that receives multimedia feeds from multiple sources including mobile devices with location data and landline phones without location data. The server aggregates, processes, and distributes this information to emergency responders, enabling location-aware responses even for landline calls by combining data from various sources.
Solution Approach 2:
The system creates a universal emergency communication platform that handles multiple types of emergency calls (mobile and landline) through a single integrated system. The cloud server universally processes different data formats and sources, providing consistent location and situational awareness information regardless of the calling device type.
2Measurement precision
If device-based hybrid locations are transmitted to emergency service providers, then location accuracy is improved, but system complexity increases
Solution Approach 1:
The patent extracts the complex location processing and data aggregation functions from the emergency service provider's direct system and relocates them to a separate cloud server infrastructure. This extraction allows the core emergency response system to remain simpler while the cloud server handles the computational complexity of processing device-based hybrid locations from multiple devices.
3Loss of information
If multimedia feeds are shared in real-time with emergency service providers, then situational awareness is improved, but data transmission requirements increase
Solution Approach 1:
The system implements selective data transmission where the cloud server filters and prioritizes multimedia feed data based on emergency response needs. Rather than transmitting all available data, the server transmits only the most critical portions of multimedia feeds that provide essential situational awareness, reducing overall data volume while maintaining information quality.
Data Source
AI summary
Disclosed herein is an emergency management cloud server that facilitates data exchange between various data sources and various data recipients. Also disclosed herein is a responder dispatch coordination system (RDC) that facilitates communications between emergency service providers and emergency responders to aid emergency response networks and systems in responding to emergencies. Also disclosed herein are various ways in which the cloud server provides methods and systems for sharing streams of multimedia between users in an emergency, an emergency service provider (ESP), and emergency responders.